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ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

all-in-one-python-projects

A huge collection of awesome beginner-friendly Python projects starting from very basics to advance. Prefect repository for learning python and enhancing your python programming skills.

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

books-7

A book a day, keep stupid away （forked from others)

capital-iq-webscraping

A series of Jupyter Notebooks that demonstrate how to scrape data from the S&P Capital IQ Website, provided that you already have access to the website. Can be used in lieu of an API.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data-analytics-projects

:mag_right: Data analysis with real world data sets using Python :mag:

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

financial-analysis-and-related

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

gs-quant

Python toolkit for quantitative finance

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-machine-learning-algorithms

Implementations of classic Machine Learning algorithms

openbbterminal

Investment Research for Everyone, Everywhere.

pyodbc

Python ODBC bridge

python

最良心的 Python 教程：

python-1

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

regression_analysis

the code for the regression analysis course I teach in 2021S2, using Julia, R, Python and Stata in Jupyter notebook

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA,

tensorflow

An Open Source Machine Learning Framework for Everyone

tf-quant-finance

High-performance TensorFlow library for quantitative finance.